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Tag: cognitive impairment
11/09/2023

Your Smartphone Can Determine Your Level of Intoxication

Article Excerpt: In an innovative approach to public health and safety, a recent study suggests that everyday technology, like smartphones, could play a pivotal role in reducing alcohol-related accidents by determining if you are intoxicated. This study, a collaborative effort between Stanford Medicine and the University of Toronto, uncovers how smartphones and smart speakers might be utilized to assess a person’s alcohol intoxication through changes in their voice… The study stands as a clarion call to action for the creation of digital biomarker repositories by institutions like the National Institutes of Health. The ultimate aim is to forge an intervention system that is both user-friendly and effective in preventing injuries and saving lives, leveraging the power of technology for societal well-being.

Full Article: https://tinyurl.com/3hsmerst

Article Source: earth.com

08/01/2023

Recreational Cannabis Has Arrived in Minnesota. What Are Its Health Benefits, Risks?

Article Excerpt: Despite its use in medicine, cannabis is a cause for concern for some clinicians, especially when they consider the developing brains of children and young adults. It is also an understudied substance, due in part to its federal classification as a Schedule 1 drug, limiting what we know, scientifically, about its potential benefits and harms on the human body. “Cannabis is not one drug,” said Jacob Borodovsky, a senior research scientist at the Geisel School of Medicine at Dartmouth. “The cannabis plant itself, we’ve identified over 150 cannabinoid compounds that are present in the cannabis plant. THC and CBD are just two of those 150 or more identified compounds.” So, what do we know about cannabis and its health impacts?

Full Article: https://tinyurl.com/2nu3xj5a

Article Source: Post Bulletin

06/01/2023

How Does Marijuana Affect the Brain? Psychological Researchers Examine Impact on Different Age Groups Over Time

Article Excerpt: Although scientists are working to answer important questions about consuming cannabis, one of the gaping holes in the field is a reliable method of quantifying how many milligrams of THC are in the multitude of products available, said Dartmouth College’s Alan Budney, PhD, a professor of psychiatry and biomedical science who specializes in cannabis research… Budney is now preparing to launch a survey of 15,000 users who will report not only the detailed information about their cannabis consumption but also how the products are affecting them in terms of depression, anxiety, cannabis use disorder symptoms, and quality of life.

Full Article: https://tinyurl.com/42zuuxms

Article Source: American Psychological Association

09/27/2021

Smartphone Sensor Data Has Potential to Detect Cannabis Intoxication

Article Excerpt: A smartphone sensor, much like what is used in GPS systems, might be a way to determine whether or not someone is intoxicated after consuming marijuana, according to a new study by the Rutgers Institute for Health, Health Care Policy and Aging Research. According to the study, published in Drug and Alcohol Dependence, which evaluated the feasibility of using smartphone sensor data to identify episodes of cannabis intoxication in the natural environment, a combination of time features (tracking the time of day and day of week) and smartphone sensor data had a 90 percent rate of accuracy.

Full Article: https://tinyurl.com/4jyzx6jk

Article Source: Newswise

11/17/2020

Treating Addiction with IoT and AI

Article Excerpt: The interconnectivity fostered by IoT and the learning abilities of AI show potential in tackling a wide range of problems. Although not the first on our minds, substance addiction is one such problem IoT and AI can work against. This will completely revolutionize rehab and allow for the remote treatment of addiction during pandemics like these, where in-person treatment is less viable.

Full Article: https://tinyurl.com/y6zhvpwn

Article Source: IoT For All

02/13/2020

Dartmouth Researchers Study Use Of Voice Assistants In Detecting Dementia

Article Excerpt: Researchers from Dartmouth-Hitchcock and the University of Massachusetts Boston were recently awarded a four-year, $1.2 million grant from the National Institute on Aging to use voice assistant systems, such as Amazon’s Alexa and Google Home, to detect early cognitive impairment.

Full Article: https://tinyurl.com/wqa8gtl

Article Source: NH Business Review

02/08/2020

Sunday Seniors: Researchers Turn to Technology to Detect Dementia

Article Excerpt: Voice assistants like Amazon’s Alexa or Google Home can do everything from remotely turning on lights to keeping a to-do list.Now, researchers led by Dartmouth-Hitchcock and the University of Massachusetts Boston are hoping the voice assistant systems, which often rely on smart speakers to take verbal commands, can help people do something else: Pick up on early verbal signs of cognitive decline.

Full Article: https://tinyurl.com/rmwg3dt

Article Source: Valley News.  Also posted on Dartmouth Geisel School of Medicine News.

02/04/2020

Voice Assistants Like Alexa, Google Home May One Day Detect Dementia

Article Excerpt: It may seem outlandish now, but in the not-so-distant future, we may be able to call on voice assistants like Alexa, Siri or Google Home to help detect dementia and early cognitive impairment. Researchers at Dartmouth-Hitchcock and the University of Massachusetts Boston have received a 4-year, $1.1 million grant from the National Institute on Aging (NIA) to study if voice and language patterns captured by voice assistants can be used to identify people in an early stage of dementia or cognitive impairment.

Full Article: https://tinyurl.com/w5drfvj

Article Source: Being Patient

02/01/2020

Researchers Hope Voice Assistants Can Spot Signs Of Dementia

Article Excerpt: An effort to use voice-assistant devices like Amazon’s Alexa to detect signs of memory problems in people has gotten a boost with a grant from the federal government. Researchers from Dartmouth-Hitchcock and the University of Massachusetts Boston will get a four-year $1.2 million grant from the National Institute on Aging. The team hopes to develop a system that would use machine and deep learning techniques to detect changes in speech patterns to determine if someone is a risk of developing dementia or Alzheimer’s.

Full Article: https://tinyurl.com/wzy5rut

Article Source: AP News.  Also picked up by Dartmouth Geisel School of Medicine, WCAX, WHDH TV 7News Boston, New Hampshire Public Radio, Medscape, Centre Daily Times, and CBS Boston.